Mark A. Olson

69 papers receiving 1.8k citations

Peers

Mark A. Olson
Comparison fields: 5 of 116
  • Management Science and Operations Research 260
  • Computational Theory and Mathematics 220
  • Physical and Theoretical Chemistry 124
  • General Decision Sciences 33
  • Molecular Biology 563
Replace Przemyslaw Jerzy Porebski with:
Przemyslaw Jerzy Porebski United States
Darren V. S. Green United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Mark A. Olson

Since Specialization
Citations

This map shows the geographic impact of Mark A. Olson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark A. Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Olson more than expected).

Fields of papers citing papers by Mark A. Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Olson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark A. Olson. The network helps show where Mark A. Olson may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark A. Olson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark A. Olson Line = papers co-authored together Mark A. Olson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005169
2 2002165
3 2004116
4 200391
5 201487
6 201186
7 200682
8 201473
9 200561
10 199756
11 199850
12 201448
13 201640
14 201438
15 200737
16 200837
17 201037
18 199234
19 201433
20 201127

About Mark A. Olson

Mark A. Olson is a scholar working on Molecular Biology, Management Science and Operations Research, Agronomy and Crop Science, Plant Science and Infectious Diseases, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (32 papers), Auction Theory and Applications (7 papers), Genetic and Environmental Crop Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral Infections and Outbreaks Research (3 papers), Lipid Membrane Structure and Behavior (3 papers), Agronomic Practices and Intercropping Systems (3 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Management Science and Operations Research (260 citations), Computational Theory and Mathematics (220 citations), Physical and Theoretical Chemistry (124 citations), General Decision Sciences (33 citations) and Molecular Biology (563 citations). Mark A. Olson has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Michael S. Lee, David Porter, Freddie R. Salsbury, Jeffrey S. Banks, Bassoodeo Dave Oomah, John O. Ledyard, Joseph A. Swanson, Parthiba M. Balasubramanian, In‐Chul Yeh and CHARLES N. NOUSSAIR. Their work appears in journals such as Journal of Computational Chemistry, Proteins Structure Function and Bioinformatics, The Journal of Chemical Physics, Journal of Chemical Theory and Computation and The Journal of Physical Chemistry B.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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